CWE-89: Improper Neutralization of Special Elements used in an SQL Command ('SQL Injection')
Also known as: SQL injection, SQLi
The product constructs all or part of an SQL command using externally-influenced input from an upstream component, but it does not neutralize or incorrectly neutralizes special elements that could modify the intended SQL command when it is sent to a downstream component. Without sufficient removal or quoting of SQL syntax in user-controllable inputs, the generated SQL query can cause those inputs to be interpreted as SQL instead of ordinary user data.
Last updated
Overview
CWE-89 (Improper Neutralization of Special Elements used in an SQL Command ('SQL Injection')) is a base-level software weakness catalogued by MITRE in the Common Weakness Enumeration (CWE). It describes a recurring type of mistake that can lead to exploitable security vulnerabilities.
Real-world CVEs
11,086 recorded CVEs are caused by CWE-89 (Improper Neutralization of Special Elements used in an SQL Command ('SQL Injection')), including 26 in CISA's KEV (Known Exploited Vulnerabilities) catalog. KEVs are shown first. 2,024 new CWE-89 CVEs have been recorded so far in 2026 (3,661 in 2025).
- CVE-2023-34362CISA KEVCritical · CVSS 10.0 · EPSS 100th2023-06-02
- CVE-2021-42258CISA KEVCritical · CVSS 10.0 · EPSS 99th2021-10-22
- CVE-2020-12271CISA KEVCritical · CVSS 10.0 · EPSS 99th2020-04-27
- CVE-2017-18362CISA KEVCritical · CVSS 10.0 · EPSS 100th2019-02-05
- CVE-2024-9465CISA KEV
Expedition: SQL Injection Leads to Firewall Admin Credential Disclosure
Critical · CVSS 9.9 · EPSS 100th2024-10-09 - CVE-2026-9082CISA KEV
Drupal core - Highly critical - SQL injection - SA-CORE-2026-004
Critical · CVSS 9.8 · EPSS 100th2026-05-20 - CVE-2024-29824CISA KEVCritical · CVSS 9.4 · EPSS 100th2024-05-31
- CVE-2026-42208CISA KEV
LiteLLM: SQL injection in Proxy API key verification
Critical · CVSS 9.3 · EPSS 100th2026-05-08 - CVE-2026-21643CISA KEVCritical · CVSS 9.3 · EPSS 100th2026-02-06
- CVE-2025-25257CISA KEVCritical · CVSS 9.3 · EPSS 100th2025-07-17
- CVE-2025-25181CISA KEVCritical · CVSS 9.3 · EPSS 99th2025-02-03
- CVE-2024-43468CISA KEV
Microsoft Configuration Manager Remote Code Execution Vulnerability
Critical · CVSS 9.3 · EPSS 99th2024-10-08
Showing 12 of 11,086 recorded CWE-89 CVEs. Track new ones as they are published and get AI-written analysis and fixes.
Monitor CWE-89 vulnerabilitiesCommon consequences
What can happen when CWE-89 is exploited.
Execute Unauthorized Code or Commands
Affects: Confidentiality, Integrity, Availability
Adversaries could execute system commands, typically by changing the SQL statement to redirect output to a file that can then be executed.
Read Application Data
Affects: Confidentiality
Since SQL databases generally hold sensitive data, loss of confidentiality is a frequent problem with SQL injection vulnerabilities.
Gain Privileges or Assume Identity, Bypass Protection Mechanism
Affects: Authentication
If poor SQL commands are used to check user names and passwords or perform other kinds of authentication, it may be possible to connect to the product as another user with no previous knowledge of the password.
Bypass Protection Mechanism
Affects: Access Control
If authorization information is held in a SQL database, it may be possible to change this information through the successful exploitation of a SQL injection vulnerability.
Modify Application Data
Affects: Integrity
Just as it may be possible to read sensitive information, it is also possible to modify or even delete this information with a SQL injection attack.
How it happens
When it is introduced
Typically introduced during these phases of the software lifecycle.
Applies to
Languages
Technologies
How to prevent it
Practical mitigations for CWE-89, grouped by where in the lifecycle they apply.
Use a vetted library or framework that does not allow this weakness to occur or provides constructs that make this weakness easier to avoid [REF-1482].
For example, consider using persistence layers such as Hibernate or Enterprise Java Beans, which can provide significant protection against SQL injection if used properly.
If available, use structured mechanisms that automatically enforce the separation between data and code. These mechanisms may be able to provide the relevant quoting, encoding, and validation automatically, instead of relying on the developer to provide this capability at every point where output is generated.
Process SQL queries using prepared statements, parameterized queries, or stored procedures. These features should accept parameters or variables and support strong typing. Do not dynamically construct and execute query strings within these features using "exec" or similar functionality, since this may re-introduce the possibility of SQL injection. [REF-867]
Run your code using the lowest privileges that are required to accomplish the necessary tasks [REF-76]. If possible, create isolated accounts with limited privileges that are only used for a single task. That way, a successful attack will not immediately give the attacker access to the rest of the software or its environment. For example, database applications rarely need to run as the database administrator, especially in day-to-day operations.
Specifically, follow the principle of least privilege when creating user accounts to a SQL database. The database users should only have the minimum privileges necessary to use their account. If the requirements of the system indicate that a user can read and modify their own data, then limit their privileges so they cannot read/write others' data. Use the strictest permissions possible on all database objects, such as execute-only for stored procedures.
For any security checks that are performed on the client side, ensure that these checks are duplicated on the server side, in order to avoid CWE-602. Attackers can bypass the client-side checks by modifying values after the checks have been performed, or by changing the client to remove the client-side checks entirely. Then, these modified values would be submitted to the server.
While it is risky to use dynamically-generated query strings, code, or commands that mix control and data together, sometimes it may be unavoidable. Properly quote arguments and escape any special characters within those arguments. The most conservative approach is to escape or filter all characters that do not pass an extremely strict allowlist (such as everything that is not alphanumeric or white space). If some special characters are still needed, such as white space, wrap each argument in quotes after the escaping/filtering step. Be careful of argument injection (CWE-88).
Instead of building a new implementation, such features may be available in the database or programming language. For example, the Oracle DBMS_ASSERT package can check or enforce that parameters have certain properties that make them less vulnerable to SQL injection. For MySQL, the mysql_real_escape_string() API function is available in both C and PHP.
Assume all input is malicious. Use an "accept known good" input validation strategy, i.e., use a list of acceptable inputs that strictly conform to specifications. Reject any input that does not strictly conform to specifications, or transform it into something that does.
When performing input validation, consider all potentially relevant properties, including length, type of input, the full range of acceptable values, missing or extra inputs, syntax, consistency across related fields, and conformance to business rules. As an example of business rule logic, "boat" may be syntactically valid because it only contains alphanumeric characters, but it is not valid if the input is only expected to contain colors such as "red" or "blue."
Do not rely exclusively on looking for malicious or malformed inputs. This is likely to miss at least one undesirable input, especially if the code's environment changes. This can give attackers enough room to bypass the intended validation. However, denylists can be useful for detecting potential attacks or determining which inputs are so malformed that they should be rejected outright.
When constructing SQL query strings, use stringent allowlists that limit the character set based on the expected value of the parameter in the request. This will indirectly limit the scope of an attack, but this technique is less important than proper output encoding and escaping.
Note that proper output encoding, escaping, and quoting is the most effective solution for preventing SQL injection, although input validation may provide some defense-in-depth. This is because it effectively limits what will appear in output. Input validation will not always prevent SQL injection, especially if you are required to support free-form text fields that could contain arbitrary characters. For example, the name "O'Reilly" would likely pass the validation step, since it is a common last name in the English language. However, it cannot be directly inserted into the database because it contains the "'" apostrophe character, which would need to be escaped or otherwise handled. In this case, stripping the apostrophe might reduce the risk of SQL injection, but it would produce incorrect behavior because the wrong name would be recorded.
When feasible, it may be safest to disallow meta-characters entirely, instead of escaping them. This will provide some defense in depth. After the data is entered into the database, later processes may neglect to escape meta-characters before use, and you may not have control over those processes.
When the set of acceptable objects, such as filenames or URLs, is limited or known, create a mapping from a set of fixed input values (such as numeric IDs) to the actual filenames or URLs, and reject all other inputs.
Ensure that error messages only contain minimal details that are useful to the intended audience and no one else. The messages need to strike the balance between being too cryptic (which can confuse users) or being too detailed (which may reveal more than intended). The messages should not reveal the methods that were used to determine the error. Attackers can use detailed information to refine or optimize their original attack, thereby increasing their chances of success.
If errors must be captured in some detail, record them in log messages, but consider what could occur if the log messages can be viewed by attackers. Highly sensitive information such as passwords should never be saved to log files.
Avoid inconsistent messaging that might accidentally tip off an attacker about internal state, such as whether a user account exists or not.
In the context of SQL Injection, error messages revealing the structure of a SQL query can help attackers tailor successful attack strings.
Use an application firewall that can detect attacks against this weakness. It can be beneficial in cases in which the code cannot be fixed (because it is controlled by a third party), as an emergency prevention measure while more comprehensive software assurance measures are applied, or to provide defense in depth [REF-1481.
Effectiveness: Moderate — An application firewall might not cover all possible input vectors. In addition, attack techniques might be available to bypass the protection mechanism, such as using malformed inputs that can still be processed by the component that receives those inputs. Depending on functionality, an application firewall might inadvertently reject or modify legitimate requests. Finally, some manual effort may be required for customization.
When using PHP, configure the application so that it does not use register_globals. During implementation, develop the application so that it does not rely on this feature, but be wary of implementing a register_globals emulation that is subject to weaknesses such as CWE-95, CWE-621, and similar issues.
How to detect it
Automated Static Analysis
This weakness can often be detected using automated static analysis tools. Many modern tools use data flow analysis or constraint-based techniques to minimize the number of false positives.
Automated static analysis might not be able to recognize when proper input validation is being performed, leading to false positives - i.e., warnings that do not have any security consequences or do not require any code changes.
Automated static analysis might not be able to detect the usage of custom API functions or third-party libraries that indirectly invoke SQL commands, leading to false negatives - especially if the API/library code is not available for analysis.
Automated Dynamic Analysis
This weakness can be detected using dynamic tools and techniques that interact with the software using large test suites with many diverse inputs, such as fuzz testing (fuzzing), robustness testing, and fault injection. The software's operation may slow down, but it should not become unstable, crash, or generate incorrect results.
Effectiveness: Moderate
Manual Analysis
Manual analysis can be useful for finding this weakness, but it might not achieve desired code coverage within limited time constraints. This becomes difficult for weaknesses that must be considered for all inputs, since the attack surface can be too large.
Automated Static Analysis - Binary or Bytecode
According to SOAR [REF-1479], the following detection techniques may be useful:
Effectiveness: High
Dynamic Analysis with Automated Results Interpretation
According to SOAR [REF-1479], the following detection techniques may be useful:
Effectiveness: High
Dynamic Analysis with Manual Results Interpretation
According to SOAR [REF-1479], the following detection techniques may be useful:
Effectiveness: SOAR Partial
Manual Static Analysis - Source Code
According to SOAR [REF-1479], the following detection techniques may be useful:
Effectiveness: High
Automated Static Analysis - Source Code
According to SOAR [REF-1479], the following detection techniques may be useful:
Effectiveness: High
Architecture or Design Review
According to SOAR [REF-1479], the following detection techniques may be useful:
Effectiveness: High
Code examples
Illustrative examples from MITRE showing how the weakness appears in code.
In 2008, a large number of web servers were compromised using the same SQL injection attack string. This single string worked against many different programs. The SQL injection was then used to modify the web sites to serve malicious code.
The following code dynamically constructs and executes a SQL query that searches for items matching a specified name. The query restricts the items displayed to those where owner matches the user name of the currently-authenticated user.
Example
SELECT * FROM items WHERE owner = <userName> AND itemname = <itemName>;Attack input
name' OR 'a'='aAttack input
SELECT * FROM items WHERE owner = 'wiley' AND itemname = 'name' OR 'a'='a';Attack input
OR 'a'='aAttack input
SELECT * FROM items;This example examines the effects of a different malicious value passed to the query constructed and executed in the previous example.
Attack input
name'; DELETE FROM items; --Attack input
--'
SELECT * FROM items WHERE owner = 'wiley' AND itemname = 'name';Attack input
name'; DELETE FROM items; SELECT * FROM items WHERE 'a'='aAttack input
SELECT * FROM items WHERE owner = 'wiley' AND itemname = 'name';Vulnerable example
procedure get_item ( itm_cv IN OUT ItmCurTyp, usr in varchar2, itm in varchar2)MS SQL has a built in function that enables shell command execution. An SQL injection in such a context could be disastrous. For example, a query of the form:
Vulnerable example
SELECT ITEM,PRICE FROM PRODUCT WHERE ITEM_CATEGORY='$user_input' ORDER BY PRICEAttack input
'; exec master..xp_cmdshell 'dir' --Attack input
SELECT ITEM,PRICE FROM PRODUCT WHERE ITEM_CATEGORY=''; exec master..xp_cmdshell 'dir' --' ORDER BY PRICEThis code intends to print a message summary given the message ID.
Vulnerable example
$id = $_COOKIE["mid"];Attack input
1432' or '1' = '1Resulting query
SELECT MessageID, Subject FROM messages WHERE MessageID = '1432' or '1' = '1'Safe example
$id = intval($_COOKIE["mid"]);This example attempts to take a last name provided by a user and enter it into a database.
Vulnerable example
# ensure only letters, hyphens and apostrophe are allowed
$userKey = getUserID();While the programmer applies an allowlist to the user input, it has shortcomings. First of all, the user is still allowed to provide hyphens, which are used as comment structures in SQL. If a user specifies "--" then the remainder of the statement will be treated as a comment, which may bypass security logic. Furthermore, the allowlist permits the apostrophe, which is also a data / command separator in SQL. If a user supplies a name with an apostrophe, they may be able to alter the structure of the whole statement and even change control flow of the program, possibly accessing or modifying confidential information. In this situation, both the hyphen and apostrophe are legitimate characters for a last name and permitting them is required. Instead, a programmer may want to use a prepared statement or apply an encoding routine to the input to prevent any data / directive misinterpretations.
Illustrative examples
Real CVEs that MITRE cites as examples of this weakness.
- CVE-2021-42258CISA KEV— SQL injection in time and billing software, as exploited in the wild per CISA KEV.
- CVE-2021-27101CISA KEV— SQL injection in file-transfer system via a crafted Host header, as exploited in the wild per CISA KEV.
- CVE-2020-12271CISA KEV— SQL injection in firewall product's admin interface or user portal, as exploited in the wild per CISA KEV.
- CVE-2024-6847 — SQL injection in AI chatbot via a conversation message
- CVE-2025-26794 — SQL injection in e-mail agent through SQLite integration
- CVE-2023-32530 — SQL injection in security product dashboard using crafted certificate fields
- CVE-2019-3792 — An automation system written in Go contains an API that is vulnerable to SQL injection allowing the attacker to read privileged data.
- CVE-2004-0366 — chain: SQL injection in library intended for database authentication allows SQL injection and authentication bypass.
- CVE-2008-2790 — SQL injection through an ID that was supposed to be numeric.
- CVE-2008-2223 — SQL injection through an ID that was supposed to be numeric.
- CVE-2007-6602 — SQL injection via user name.
- CVE-2008-5817 — SQL injection via user name or password fields.
- CVE-2003-0377 — SQL injection in security product, using a crafted group name.
- CVE-2008-2380 — SQL injection in authentication library.
- CVE-2017-11508 — SQL injection in vulnerability management and reporting tool, using a crafted password.
Terminology & mappings
Alternate terms
- SQL injection
- a common attack-oriented phrase
- SQLi
- a common abbreviation for "SQL injection"
Mapped taxonomies
- PLOVER: SQL injection
- 7 Pernicious Kingdoms: SQL Injection
- CLASP: SQL injection
- OWASP Top Ten 2007: Injection Flaws (A2) — CWE More Specific fit
- OWASP Top Ten 2004: Unvalidated Input (A1) — CWE More Specific fit
- OWASP Top Ten 2004: Injection Flaws (A6) — CWE More Specific fit
- WASC: SQL Injection (19)
- Software Fault Patterns: Tainted input to command (SFP24)
- OMG ASCSM (ASCSM-CWE-89)
- SEI CERT Oracle Coding Standard for Java: Prevent SQL injection (IDS00-J) — Exact fit
Attack patterns
CAPEC attack patterns that exploit this weakness.
Frequently asked questions
Common questions about CWE-89.
- What is CWE-89?
- The product constructs all or part of an SQL command using externally-influenced input from an upstream component, but it does not neutralize or incorrectly neutralizes special elements that could modify the intended SQL command when it is sent to a downstream component. Without sufficient removal or quoting of SQL syntax in user-controllable inputs, the generated SQL query can cause those inputs to be interpreted as SQL instead of ordinary user data.
- What CVEs are caused by CWE-89?
- 11,086 recorded CVEs are attributed to CWE-89, including CVE-2023-34362, CVE-2021-42258, CVE-2020-12271. 26 are listed in CISA's Known Exploited Vulnerabilities (KEV) catalog.
- Is CWE-89 part of the OWASP Top 10?
- CWE-89 maps to OWASP Top Ten 2007: Injection Flaws (A2) in the OWASP security taxonomy.
- How do you prevent CWE-89?
- Use a vetted library or framework that does not allow this weakness to occur or provides constructs that make this weakness easier to avoid [REF-1482].
- How is CWE-89 detected?
- Automated Static Analysis: This weakness can often be detected using automated static analysis tools. Many modern tools use data flow analysis or constraint-based techniques to minimize the number of false positives.
- What are the consequences of CWE-89?
- Exploiting CWE-89 can lead to: Execute Unauthorized Code or Commands, Read Application Data, Gain Privileges or Assume Identity, Bypass Protection Mechanism, Modify Application Data.
- Is CWE-89 actively exploited?
- Yes. 26 CWE-89 vulnerabilities are in CISA's KEV catalog of actively exploited flaws, out of 11,086 recorded CVEs.
References
- MITRE CWE definition (CWE-89) (opens in a new tab)
- CWE-89 vulnerabilities on NVD (opens in a new tab)
- Learn: What is a CWE?
Weakness data is sourced from the MITRE CWE catalog (v4.20). CVE associations are aggregated and kept current by RadicalNotion.AI.
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